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One of the many challenges that data engineers face every single day is data synchronization between multiple sources with the main purpose of achieving the integrity of all databases, This is where Change Data Capture (CDC) is a powerful method that modern data engineers rely on to seamlessly capture, track, and route real-time database changes. It efficiently channels these changes to downstream systems, empowering data engineers with up-to-the-minute insights and streamlining data integration processes.

Target audience

Data Engineers, DBA, Data Architects, and Enthusiasts Seeking Real-Time Data Insights.

Why is the CDC so important in the Data World?

Change data capture (CDC) is a process of capturing changes to data in a database or other data source. CDC is particularly important in the data world because it allows you to get the most out of your data. By tracking changes to data in real-time, you can make better decisions, improve efficiency, and reduce risk.